Diagnosis of human operator behaviour in case of train driving: interest of facial recognition
type: Dataset
description: This paper shows a state-of-the-art of facial recognition with reliable algorithms more particularly with Viola and Jones contributions based on the use of Haar-like features suited to temporal constraints of rail drive. Estimations of eyes and mouth positions are provided in relation to face. The operations are done on pixels of those pictures in order to determine the blinking and the yawns betraying a sleepiness of the operator. The definition of neutral and surprise emotions corresponding respectively to normal or degraded situation permits to test the algorithms.
issued: 2026-05-05T10:52:03.280542
language: en
modified: 2026-05-05T10:52:03.280547
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: facteur-humain
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: reconnaissance
keyword: securite
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: transport-ferroviaire
landing page: 30th European Annual Conference on Human Decision-Making and Manual Control

Diagnosis of human operator behaviour in case of train driving: interest of facial recognition
type: Distribution
format: HTML
issued: 2026-05-05T10:52:03.285399
modified: 2026-05-05T10:52:03.270080
access URL: https://hal.science/hal-00993161

test_moissonnage_selune
type: Agent